code: def __torch_function__(cls, func, types, args=(), kwargs=None):
      # method-wrapper is to detect access to Tensor properties that are
      # wrapped in descriptors
      if (
          func in cls._allowed_methods
          or func.__class__.__name__ == "method-wrapper"
      ):
          if kwargs is None:
              kwargs = {}
          return super().__torch_function__(func, types, args, kwargs)
      raise ValueError(
          f"Attempted to use an uninitialized parameter in {func}. "
          "This error happens when you are using a `LazyModule` or "
          f"explicitly manipulating `torch.nn.parameter.{cls.__name__}` "
          "objects. When using LazyModules Call `forward` with a dummy batch "
          "to initialize the parameters before calling torch functions"
      )
  
imports: import torch
  from torch._C import _disabled_torch_function_impl
  from collections import OrderedDict
label_desc: Use image node_id 6 for calling the UninitializedTensorMixin obj's underlying member method code with example usage: obj.__torch_function__(cls, func, types, args, kwargs) and returns: super